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Zakari Denis

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Related publications (4)

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Real-time quantum dynamics of thermal states with neural thermofields

Giuseppe Carleo, Jannes Willy E. Nys, Zakari Denis

Solving the time-dependent quantum many-body Schrödinger equation is a challenging task, especially for states at a finite temperature, where the environment affects the dynamics. Most existing approximating methods are designed to represent static thermal ...

2024

Comment on "Can Neural Quantum States Learn Volume-Law Ground States?"

Zakari Denis

Passetti et al. [1] recently assessed the potential of neural quantum states (NQS) [2] in learning ground-state wave functions with volume-law entanglement scaling. They focused on NQS using feedforward neural networks, specifically applied to the complex ...

AMER PHYSICAL SOC2025

Accurate neural quantum states for interacting lattice bosons

Giuseppe Carleo, Zakari Denis

In recent years, neural quantum states have emerged as a powerful variational approach, achieving state-of-the-art accuracy when representing the ground-state wave function of a great variety of quantum many-body systems, including spin lattices, interacti ...

Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften2025

Predicting topological entanglement entropy in a Rydberg analogue simulator

Linda Mauron, Giuseppe Carleo, Jannes Willy E. Nys, Zakari Denis

Predicting the dynamical properties of topological matter is a challenging task, not only in theoretical and experimental settings, but also computationally. Numerical studies are often constrained to studying simplified models and lattices. Here we propos ...

2025